A brain-inspired intention prediction model and its applications to humanoid robot.

ABSTRACT: With the development of artificial intelligence and robotic technology in recent years, robots are gradually integrated into human daily life. Most of the human-robot interaction technologies currently applied to home service robots are programmed by the manufacturer first, and then instruct the user to trigger the implementation through voice commands or gesture commands. Although these methods are simple and effective, they lack some flexibility, especially when the programming program is contrary to user habits, which will lead to a significant decline in user experience satisfaction. To make that robots can better serve human beings, adaptable, simple, and flexible human-robot interaction technology is essential. Based on the neural mechanism of reinforcement learning, we propose a bra

SUBMITTER: Zhao Y 

PROVIDER: S-EPMC9633960 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature